# The best DeepSeek Search API alternatives for AI agents in 2026

DeepSeek’s Search and Fetch APIs cost $0.75 per 1,000 successful requests, and all seven DeepSeek Search API alternatives compared here cost more at list price, including Parallel Search at $1 per 1,000 on Turbo and Fast. The reasons to switch are model independence, documented data handling, and more throughput than DeepSeek’s 5 requests per second per endpoint.

## Quick answer

Keep the DeepSeek Search API if price per call is your main constraint. At list price Parallel costs more ($1 vs $0.75 per 1,000 requests on Turbo and Fast). DeepSeek is the better pick if you run DeepSeek models, stay under 5 requests per second per endpoint, and accept DeepSeek’s data terms.

Choose Parallel when you want search that works with any model, DeepSeek’s included, so that changing your model never means changing your search integration. Parallel Search is a REST API with SDKs and a free hosted MCP server that needs no key.

Among the other alternatives, Exa fits entity and semantic search, and Brave has an independent index with Goggles. Perplexity returns raw ranked results with filters. Tavily is a framework default and bills in credits. Linkup prices per request with no credit conversion, and Firecrawl scrapes whole pages next to search.

On data handling, Parallel, Exa, Brave, Linkup, and Firecrawl each document a zero data retention option, most of them on enterprise plans, and DeepSeek documents none for Search and Fetch. Parallel’s optional EU data residency covers Search API requests in Basic mode sent to its EU endpoint. It excludes Extract, and Parallel is a US company, so its jurisdiction doesn’t change.

## When is the DeepSeek Search API still the right choice?

When price, result volume, date filtering, or DeepSeek-native agents matter most. The [Search and Fetch APIs](https://api-docs.deepseek.com/guides/search) went live to all developers on October 17, 2026, as plain JSON endpoints with bearer authentication and no model parameter, and they have four advantages.

- **Price.** Search and Fetch each cost $0.75 per 1,000 successful requests, and failed or empty requests are free.
- **Result volume.** One request returns up to 50 results at a flat price, with `snippet`, `summary`, `rerank_score`, and `authority` fields in the same response.
- **Date filtering.** The query string accepts both `after:` and `before:` operators.
- **DeepSeek-native agents.** Calls made through DeepSeek Harness, Claude Code, and Codex are free until billing starts, which DeepSeek’s pricing page puts at 00:00 Beijing time on November 1, 2026. The Search & Fetch guide describes a shorter window for Claude Code and Codex, so confirm the date.

## Why look beyond the DeepSeek Search API?

DeepSeek’s own documentation shows five constraints.

- **Account and model coupling.** You need a DeepSeek API key and prepaid balance. DeepSeek’s built-in server-side search works with DeepSeek models alone, and Codex search needs `deepseek-v4-pro`.
- **Throughput.** Search and Fetch are each capped at 5 requests per second per account, with no documented way to raise the limit.
- **Query length.** Search queries are capped at 128 characters.
- **Data handling.** The privacy policy says DeepSeek stores personal data in the People’s Republic of China and may use personal data, including inputs, to train its models. Retention, training, and storage terms specific to Search and Fetch are not documented, and neither is a zero-retention option.
- **Evidence.** No independent benchmark of the DeepSeek Search API was found. The Artificial Analysis Search Index data dated September 28, 2026 predates the launch.

The [DeepSeek Search API vs. Parallel](https://parallel.ai/articles/deepseek-search-api-vs-parallel) comparison covers each of these in detail.

## DeepSeek Search API alternatives at a glance

| Provider | Search price per 1,000 requests | Free allowance | Best for |
| --- | --- | --- | --- |
| DeepSeek (for reference) | $0.75 for Search and $0.75 for Fetch | Not documented for direct calls | Lowest list price, DeepSeek-native agents |
| Parallel | $1 on Turbo or Fast, $5 on Basic or Advanced | Up to $80 at signup, plus $5 a month | Any-model agents, benchmarked retrieval, search plus extraction and research |
| Exa | $4 Instant, $7 Fast or Auto, $12 to $15 Deep | $10 a month, plus a $10 onboarding bonus | Semantic search, people, companies, papers |
| Brave Search API | $5 | $5 in credits a month, card required | Independent index, Goggles, LLM Context |
| Perplexity Search API | $5, or $1 with Fast Search | None listed on the pricing page | Raw ranked results with filters |
| Tavily | $8 basic, $16 advanced on pay as you go | 1,000 credits a month | Framework defaults, crawling |
| Linkup | $5 to $6 | 4,000 free queries | Per-request search, fetch, and research |
| Firecrawl | 2 credits per search of 10 results | 1,000 credits a month | Search plus full-page scraping |

Prices are list prices from each provider’s pricing page, checked October 17, 2026. Result counts differ, and the Parallel, Exa, and Firecrawl prices include 10 results per search. Price per call excludes model tokens.

## The seven options

### Parallel

Parallel Search takes a natural language objective, with optional keyword queries, and returns ranked URLs with excerpts sized to a token budget through `max_chars_per_result` and `max_chars_total`. Turbo and Fast cost $1 per 1,000 requests and Basic and Advanced cost $5, with 10 results included. Extract costs $1 per 1,000 URLs, and the Task API runs deep research at fixed prices from $5 to $2,400 per 1,000 runs.

The argument for Parallel is model independence. The same call works from any model that supports tool use, and the free [Search MCP server](https://docs.parallel.ai/integrations/mcp/search-mcp) at `https://search.parallel.ai/mcp` works with any MCP client without a key. In a test on October 17, 2026, DeepSeek-V4.1-Flash-1017 called Parallel Search as a function tool through OpenRouter and answered from the results. That was a single smoke test.

On the independent [Artificial Analysis Search Index](https://artificialanalysis.ai/agents/search-api) (September 2026 data), Parallel Search Advanced scores 75 and Basic scores 73 out of 100, behind Perplexity Search (medium) at 80 and Octen Search (highlights) at 77. Parallel’s [benchmarks page](https://parallel.ai/benchmarks) publishes its own results with methodology and dates.

On the downside, Parallel costs more per call than DeepSeek. Turbo supports English and Japanese queries and no other languages. Search has an `after_date` filter but no before-date filter, and there is no crawl endpoint. The default limit is 600 requests per minute for Search.

### Exa

Exa searches its own index with embeddings and returns page text and highlights. Instant search costs $4 per 1,000 requests, Fast and Auto cost $7, and Deep and Deep-Reasoning cost $12 and $15, each with up to 10 results. Contents cost $1 per 1,000 pages per content type. Exa supports `category` filters such as `people`, `company`, and `publication`, plus `includeDomains`, `excludeDomains`, and `startPublishedDate`. The Starter plan allows 10 queries per second and pay as you go up to 25. Exa Search (auto) scores 74 on the Artificial Analysis index. Its per-call prices are higher than DeepSeek’s, and zero data retention is listed on the Enterprise plan.

### Brave Search API

Brave serves results from its own independent index and says every result comes from that index with no fallback to another search engine. Search costs $5 per 1,000 requests and covers web search, LLM Context, news, videos, images, and places, at 50 requests per second. LLM Context returns extracted page chunks with configurable token and URL limits, and Goggles lets you re-rank or filter by source rules. Brave Search (LLM Context) scores 75 on the Artificial Analysis index. Brave’s own FreshQA comparison reports Brave at 85.3% for $18 per 1,000 questions and Parallel Advanced at 79.0% for $49, a vendor-run result. The downsides are that $5 per 1,000 is more than DeepSeek’s price, storing results needs a plan with storage rights, and the free credit requires a card. Brave describes zero data retention as built in for its Enterprise plan.

### Perplexity Search API

Perplexity’s Search API returns raw ranked web results at $5 per 1,000 requests, or $1 with Fast Search. It bills each successful request once, even when the request carries up to five queries. The API has controls for domains, languages, and regions, and `country` takes an ISO code. Perplexity Search (medium) has the highest score on the Artificial Analysis index, 80 in the September 2026 data. The pricing page lists no free allowance, and neither it nor the Search docs list zero data retention terms.

### Tavily

Tavily bills in API credits. A basic search uses 1 credit and an advanced search uses 2. Credits cost $0.008 on pay as you go, so 1,000 basic searches cost $8 and 1,000 advanced searches cost $16, and the free plan includes 1,000 credits a month. Search accepts `include_domains`, `exclude_domains`, `time_range`, `start_date`, and `country`, and Tavily also sells Extract, Map, and Crawl. Nebius [announced an agreement to acquire Tavily](https://nebius.com/newsroom/nebius-announces-agreement-to-acquire-tavily-to-add-agentic-search-to-its-ai-cloud-platform) on February 10, 2026, [its May 20 post](https://nebius.com/blog/posts/bringing-agentic-search-into-the-production-ai-stack) says it has acquired the company, and Tavily continues under its own brand. Per-search cost is above DeepSeek’s and above Parallel’s fast modes, and its pricing and Search reference pages list no zero data retention terms.

### Linkup

Linkup charges per request with no credit conversion. A search costs $0.005 to $0.006 depending on depth, a fetch costs $0.001 to $0.006, and an asynchronous research request costs $0.25 to $2.50. New accounts get 4,000 free queries. Search takes `includeDomains`, `excludeDomains`, `fromDate`, and `toDate`, which gives it both date bounds, and it can return a sourced answer or structured output. Linkup lists SOC 2 Type II on all plans and zero data retention on its Enterprise plan. Its per-call price is higher than DeepSeek’s and Parallel’s fast modes.

### Firecrawl

Firecrawl treats search and scraping as one product. A search of 10 results costs 2 credits, and adding `scrapeOptions` returns full-page Markdown, HTML, links, or screenshots for each result. The free plan includes 1,000 credits a month with no card, and the Hobby plan costs $16 a month on annual billing for 5,000 credits. Firecrawl Search scores 73 on the Artificial Analysis index. Zero data retention for search is limited to Enterprise plans. Credits are shared across endpoints, so cost per search depends on what you scrape, and pure search is not its focus.

## Data handling at a glance

A search provider sees every query your agent writes. Each provider documents zero data retention (ZDR) as follows, per the pages linked in Sources:

- **DeepSeek.** ZDR is not documented for Search and Fetch. The privacy policy says personal data is collected, processed, and stored in the People’s Republic of China and may be used to train models, and the Open Platform Terms are governed by mainland China law. A region choice or EU endpoint is not documented. The policy and the Open Platform Terms were last modified on 2026-07-15, before the launch, and neither mentions Search or Fetch.
- **Parallel.** The docs define ZDR as not retaining request or response data after a run completes. It is available under an enterprise agreement, through a ZDR listing on Google Cloud Marketplace for Gemini grounding, and by default on the EU endpoint, and it disables stateful features such as Task API Interactions. Standard data is encrypted at rest in US-based data centers. Optional EU data residency covers Search API requests in Basic mode sent to the EU endpoint, where the endpoint, the full search index, and inference run in the EU. Billing metadata such as IDs, the SKU, and a timestamp goes to the US, and live fetch runs worldwide unless you turn it off. The Extract API isn’t covered, and Parallel is a US company, so EU residency doesn’t change its jurisdiction. Parallel’s FAQ says it doesn’t use customer data to train models, but the agreement text varies. The Google Cloud Marketplace agreement bars training foundation or general-purpose LLMs on Customer Content, and the standard Customer Terms allow training and improving the models Parallel uses to provide the Services.
- **Exa.** Zero data retention and a custom DPA are listed on the Enterprise plan. According to the [EU data residency guide](https://parallel.ai/articles/best-web-search-apis-eu-data-residency), checked October 14, Exa documents no EU processing option.
- **Brave.** The pricing page lists full-funnel ZDR on Enterprise and says queries are never shared or trained on.
- **Linkup.** ZDR is available on the Enterprise plan, and SOC 2 Type II is included on all plans. Linkup runs infrastructure in the US, EU, Canada, and APAC, may process queries across those regions by default, and guarantees local query processing under an enterprise agreement.
- **Firecrawl.** ZDR for search is available on Enterprise plans.
- **Perplexity and Tavily.** Their pricing and Search reference pages list no ZDR terms, so ask each vendor.

For EU residency, the same guide reports that Brave, Tavily, Perplexity, Firecrawl, and SerpApi document no EU processing option, and that Staan hosts its service in Europe. These pages change, so read each vendor’s current terms. Residency is also separate from jurisdiction, because a US company can offer EU residency but stays subject to US law. The guide to [data residency vs. data sovereignty](https://parallel.ai/articles/data-residency-vs-data-sovereignty) explains the difference.

Whichever search API you choose, the model vendor still sees your prompts and any results you send back to it, and a separate search provider adds a second party that sees the queries.

## Can you use these alternatives with DeepSeek models?

Yes. DeepSeek’s chat API supports tool calls, so a DeepSeek model can call any provider above through function calling, and DeepSeek’s own Search API is one option among them. The [comparison guide](https://parallel.ai/articles/deepseek-search-api-vs-parallel) includes a tested Python loop that runs DeepSeek-V4.1-Flash-1017 with Parallel Search, and the guide to [adding web search to Kimi K3 and other open-weight models](https://parallel.ai/articles/kimi-k3-web-search) shows the same loop on any chat-completions endpoint. For DeepSeek Harness, [the October 11 guide to Harness search](https://parallel.ai/articles/deepseek-harness-web-search) covers plugins and MCP setup. It was written before DeepSeek’s launch.

## How to choose

- If cost per call matters most and you run DeepSeek models, start with DeepSeek’s Search API.
- For one integration that works across models, including DeepSeek’s, start with Parallel.
- For people, company, or paper search, start with Exa.
- For an independent index and Goggles source rules, start with Brave.
- For raw ranked results with country and language filters, start with Perplexity.
- For both date bounds and a sourced answer in one call, look at Linkup.
- If you scrape whole pages with every search, start with Firecrawl.
- If you need documented ZDR, check the enterprise terms of Parallel, Exa, Brave, Linkup, or Firecrawl.

## How do you switch from the DeepSeek Search API to Parallel?

DeepSeek’s `query` maps to Parallel’s `objective` plus optional `search_queries`. `count` maps to `max_results`, and `need_content` maps to excerpt settings or the Extract API. `site:` and `-site:` map to `include_domains` and `exclude_domains`, and `after:` maps to `after_date`. Parallel has no `before:` equivalent and no IP-based `localization`, and `location` takes an ISO country code. Authentication changes from `Authorization: Bearer` to an `x-api-key` header. The [Search quickstart](https://docs.parallel.ai/search/search-quickstart) has the request format.

## FAQ

### What is the cheapest DeepSeek Search API alternative?

None of the alternatives checked is cheaper than DeepSeek at list price. DeepSeek costs $0.75 per 1,000 successful requests. Parallel Turbo and Fast and Perplexity Fast Search come closest at $1 per 1,000. Linkup, Brave, and Tavily cost $5 to $8, and Exa costs $4 to $7 for most search types.

### Can I use Parallel Search with DeepSeek models?

Yes. Parallel Search is a REST API and a keyless MCP server with no model coupling. In a test on October 17, 2026, DeepSeek-V4.1-Flash-1017 called Parallel Search as a function tool, completed the search, and answered from the results.

### Does Parallel offer EU data residency?

Yes, as an optional feature with commitments set out in the customer’s DPA. It covers Search API requests in Basic mode sent to the EU endpoint, where the endpoint, the full search index, and inference run in the EU and zero data retention is the default. The Extract API isn’t covered, billing metadata goes to the US, live fetch runs worldwide unless turned off, and Parallel is a US company. See the [guide to web search APIs with EU data residency](https://parallel.ai/articles/best-web-search-apis-eu-data-residency) and [how to build an EU research agent](https://parallel.ai/articles/build-eu-research-agent-parallel-search).

### Does DeepSeek offer EU data residency or a zero data retention option?

Neither is documented. DeepSeek’s privacy policy says it stores personal data in the People’s Republic of China, and neither the privacy policy nor the Open Platform Terms mentions Search or Fetch.

### Which alternative has the best accuracy?

On the Artificial Analysis Search Index, Perplexity Search (medium) scored highest at 80 in the September 2026 data, ahead of Octen Search at 77 and Parallel Search Advanced and Brave LLM Context at 75. No independent benchmark that includes the DeepSeek Search API was found.

### Is there a free alternative to the DeepSeek Search API?

Most providers include a recurring free allowance. Parallel offers up to $80 at signup plus $5 a month, Exa $10 a month, Brave $5 a month, Tavily and Firecrawl 1,000 credits a month, and Linkup 4,000 free queries. Parallel’s Search MCP server is free with no key. The guide to [free web search APIs](https://parallel.ai/articles/best-free-web-search-api) compares them.

For EU requirements, see [web search APIs with EU data residency](https://parallel.ai/articles/best-web-search-apis-eu-data-residency). To replace a different provider, see the guides to [Tavily alternatives](https://parallel.ai/articles/tavily-alternatives), [Exa alternatives](https://parallel.ai/articles/exa-alternatives), and [Firecrawl alternatives](https://parallel.ai/articles/firecrawl-alternatives).

## Sources

- [DeepSeek Search & Fetch guide](https://api-docs.deepseek.com/guides/search), [models and pricing](https://api-docs.deepseek.com/quick_start/pricing/), [privacy policy](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html), [Open Platform Terms](https://cdn.deepseek.com/policies/en-US/deepseek-open-platform-terms-of-service.html)
- [Parallel pricing](https://parallel.ai/pricing), [Parallel docs pricing](https://docs.parallel.ai/getting-started/pricing), [Search modes](https://docs.parallel.ai/search/modes), [FAQ](https://docs.parallel.ai/resources/faqs), [glossary](https://docs.parallel.ai/getting-started/glossary), [Customer Terms](https://parallel.ai/customer-terms), [Google Cloud Marketplace agreement](https://assets.parallel.ai/gcp/parallel_gcp_master_customer_agreement.pdf), [Parallel benchmarks](https://parallel.ai/benchmarks), [web search APIs with EU data residency](https://parallel.ai/articles/best-web-search-apis-eu-data-residency), [data residency vs. data sovereignty](https://parallel.ai/articles/data-residency-vs-data-sovereignty), [data residency](https://parallel.ai/learn/data-residency)
- [Artificial Analysis Search Index](https://artificialanalysis.ai/agents/search-api), [methodology](https://artificialanalysis.ai/methodology/search-api)
- [Exa pricing](https://exa.ai/pricing), [Exa Search reference](https://exa.ai/docs/reference/search)
- [Brave Search API](https://brave.com/search/api/), [Brave LLM Context docs](https://api-dashboard.search.brave.com/documentation/services/llm-context)
- [Perplexity pricing](https://docs.perplexity.ai/getting-started/pricing), [Perplexity Search quickstart](https://docs.perplexity.ai/docs/search/quickstart)
- [Tavily pricing](https://www.tavily.com/pricing), [Tavily credits](https://docs.tavily.com/documentation/api-credits), [Tavily Search reference](https://docs.tavily.com/documentation/api-reference/endpoint/search)
- [Linkup pricing](https://www.linkup.so/pricing), [Linkup security and privacy](https://docs.linkup.so/pages/security-and-privacy/overview)
- [Firecrawl pricing](https://www.firecrawl.dev/pricing), [Firecrawl Search docs](https://docs.firecrawl.dev/features/search)

All prices and DeepSeek facts checked October 17, 2026.